The Python suite for Neuro-AI.

pip install neuralset neuralfetch neuralbench

New here? Start with NeuralSet — the core data pipeline.


Citation

@misc{king2026neuralset,
  title  = {NeuralSet: A High-Performing Python Package for Neuro-AI},
  author = {King, Jean-R{\'e}mi and Bel, Corentin and Evanson, Linnea
            and Gadonneix, Julien and Houhamdi, Sophia and L{\'e}vy, Jarod
            and Raugel, Josephine and Santos Revilla, Andrea
            and Zhang, Mingfang and Bonnaire, Julie and Caucheteux, Charlotte
            and D{\'e}fossez, Alexandre and Desbordes, Th{\'e}o
            and Diego-Sim{\'o}n, Pablo and Khanna, Shubh and Millet, Juliette
            and Orhan, Pierre and Panchavati, Saarang and Ratouchniak, Antoine
            and Thual, Alexis and Brooks, Teon L. and Begany, Katelyn
            and Benchetrit, Yohann and Careil, Marl{\`e}ne and Banville, Hubert
            and d'Ascoli, St{\'e}phane and Dahan, Simon and Rapin, J{\'e}r{\'e}my},
  year   = {2026},
  url    = {https://kingjr.github.io/files/neuralset.pdf},
  note   = {Preprint; URL will be updated when the paper lands on arXiv}
}

@misc{banville2026neuralbench,
  title        = {NeuralBench: A Unifying Framework to Benchmark NeuroAI Models},
  author       = {Banville, Hubert and d'Ascoli, St{\'e}phane and Dahan, Simon
                  and Rapin, J{\'e}r{\'e}my and Careil, Marl{\`e}ne
                  and Benchetrit, Yohann and L{\'e}vy, Jarod
                  and Panchavati, Saarang and Ratouchniak, Antoine
                  and Zhang, Mingfang and Cascardi, Elisa and Begany, Katelyn
                  and Brooks, Teon and King, Jean-R{\'e}mi},
  year         = {2026},
  howpublished = {Brain \& AI team, Meta FAIR},
  url          = {https://github.com/facebookresearch/neuroai/neuralbench-repo},
}